""" Translate from OpenAI's `/v1/chat/completions` to VLLM's `/v1/chat/completions` """ from typing import List, Optional, Tuple from litellm.secret_managers.main import get_secret_str from ...openai.chat.gpt_transformation import OpenAIGPTConfig class LiteLLMProxyChatConfig(OpenAIGPTConfig): def get_supported_openai_params(self, model: str) -> List: list = super().get_supported_openai_params(model) list.append("thinking") list.append("reasoning_effort") return list def _map_openai_params( self, non_default_params: dict, optional_params: dict, model: str, drop_params: bool, ) -> dict: supported_openai_params = self.get_supported_openai_params(model) for param, value in non_default_params.items(): if param == "thinking": optional_params.setdefault("extra_body", {})["thinking"] = value elif param in supported_openai_params: optional_params[param] = value return optional_params def _get_openai_compatible_provider_info( self, api_base: Optional[str], api_key: Optional[str] ) -> Tuple[Optional[str], Optional[str]]: api_base = api_base or get_secret_str("LITELLM_PROXY_API_BASE") # type: ignore dynamic_api_key = api_key or get_secret_str("LITELLM_PROXY_API_KEY") return api_base, dynamic_api_key def get_models( self, api_key: Optional[str] = None, api_base: Optional[str] = None ) -> List[str]: api_base, api_key = self._get_openai_compatible_provider_info(api_base, api_key) if api_base is None: raise ValueError( "api_base not set for LiteLLM Proxy route. Set in env via `LITELLM_PROXY_API_BASE`" ) models = super().get_models(api_key=api_key, api_base=api_base) return [f"litellm_proxy/{model}" for model in models] @staticmethod def get_api_key(api_key: Optional[str] = None) -> Optional[str]: return api_key or get_secret_str("LITELLM_PROXY_API_KEY")